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LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. This position will be hybrid in our Sunnyvale, CA office.

Securing data is core to building trust with our members and for LinkedIn’s success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members’ data. We are responsible for securing all of LinkedIn’s microservices and large scale data systems such as Kafka.

As a Principal Staff Engineer of the Security Engineering team at LinkedIn, you will play a crucial role in our ongoing efforts to re-architect our security infrastructure stack. This is a high-profile, high-impact project that will touch every aspect of our engineering organization, and we are looking for experienced professionals who have a proven track record of designing large-scale security infrastructure and driving consensus.

In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its security infrastructure and services to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.

If you are passionate about building the underlying technology that powers one of the world's most-used internet applications and has the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.

Responsibilities:

• You will directly contribute to LinkedIn’s data center infrastructure strategy.

• You will build and operate platforms that provide foundational security capabilities at scale.

• You will create world-class high-performance authentication, authorization, secret management, and cryptography solutions for our data centers.

• You will design and build advanced cryptography at scale to support AI-first initiatives

• You will help up-level and coach a large team of talented developers

• You will collaborate with senior technical leaders across the company to derive crucial decisions and deliver timely outcomes.

Basic Qualifications:

• BS/BA in Computer Science or related technical field, or equivalent technical experience

• 7+ years industry experience in software design, development, and algorithm related solutions.

• 7+ years programming experience in object-oriented programming languages such as Python, Java, Golang, C/C++, C#, Objective-C, or Ruby.

• 5+ years of experience in an architect or leadership position

• 4+ years of experience in large-scale compute infrastructure.

• Experienced in large distributed systems

Preferred Qualifications:

• 10+ years’ experience in software design, development, and algorithm related solutions

• 10+ years programming experience in an object-oriented programming language such as Python, Java, Golang, C/C++, C#, Objective-C, or Ruby

• 5+ years experience with large-scale distributed systems and client-server architectures

• Experience with building and deploying PKI and key management at scale

• Experience in building and deploying application authentication and authorization infrastructure (e.g OAuth)

• 2+ years experience working with machine learning/artificial intelligence

• Track record of publishing in conferences and patenting innovations

Suggested Skills:

• Technical Leadership

• Distributed Systems

• Kubernetes

• Security

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $195,000 to $320,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you

-Having interviews in an accessible location

-Being accompanied by a service dog

-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice